• DocumentCode
    428590
  • Title

    Analysis of EEG signals during micro-sleeps

  • Author

    Hrubes, P. ; Faber, J. ; Novak, M.

  • Author_Institution
    Dept. of Syst. Reliability, Czech Tech. Univ., Prague, Czech Republic
  • Volume
    4
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    3775
  • Abstract
    In the paper the design and testing of efficiency in recognizing vigilance drifts and EEG-patterns, which precede micro-sleep onset, is described. These algorithms, which are based on Gabor filtering and other approaches, are discussed. In the analysis of EEG signals pseudo-spectra usually four frequency bands are considered. Brain waves change during different states of somnolence. The typical patterns were analyzed and the results of this analysis are presented.
  • Keywords
    electroencephalography; filtering theory; neurophysiology; sleep; EEG signals pseudo-spectra; Gabor filtering; brain waves; efficiency testing; micro-sleeps; vigilance drifts recognition; Communication system traffic control; Electroencephalography; Filtering algorithms; Humans; Pattern recognition; Reliability; Road safety; Road transportation; Signal analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1400932
  • Filename
    1400932